Metrics Dictionary

VerifiedSafe

Browse and display metric definitions from the active dataset. Quick access to formulas, units, validation status, and metric specifications.

Sby Skills Guide Bot
Data & AIBeginner
2/28/2026
Claude CodeCursorWindsurf
#metrics#data-catalog#analytics#dataset#knowledge-base

Recommended for

Automated summary

This skill browses the active dataset's metric dictionary and displays definitions, categories, and validation status for each metric.

Strengths

  • Lists, filters by category, searches textually, and shows full detail for a single metric through a few simple commands
  • Reads definitions from the active dataset's YAML files, so formulas and granularity stay aligned with the source of truth
  • Flags metrics whose last validation is older than 30 days
  • Suggests relevant follow-up actions such as data profiling, writing a new metric spec, or trend analysis

Limitations

  • Assumes a specific file layout (.knowledge/active.yaml plus .knowledge/datasets/{active}/metrics/) is already in place
  • Computes and validates nothing on its own; it only reads and displays existing definitions
  • Filter and search arguments must be typed in the exact category= / search= form
When to use it

Use it when you need to look up an existing metric definition or check whether a metric is already documented before using it.

When not to use it

Avoid it on a dataset that has no metric dictionary, or when you actually need to compute a metric against the data.

Security analysis

Safe
Quality score84/100

The skill only reads local YAML files under .knowledge/ (active.yaml, metric index, per-metric files) and displays formatted tables. It declares no tools, makes no network calls, runs no shell commands, and performs no writes or destructive actions, so there is no meaningful execution risk.

No concerns found

How this analysis is made

Examples

List all metrics
/metrics — show me all the metrics we track for the active dataset
Look up one metric
/metrics mrr — show me the full spec including formula, unit, and validation status
Search the dictionary
/metrics search=churn — which metrics mention churn in their name or description?

Skill: Metrics

Purpose

Browse, search, and display metric definitions from the active dataset's metric dictionary. Provides quick access to how metrics are defined, computed, and validated.

When to Use

  • User says /metrics or "show me the metrics" or "what metrics do we track?"
  • During analysis, to confirm a metric's definition before computing it
  • When writing a metric spec, to check for existing definitions

Invocation

/metrics — list all metrics for the active dataset /metrics {id} — show full spec for a specific metric /metrics category={cat} — filter by category (e.g., monetization) /metrics search={term} — search metric names and descriptions

Instructions

Step 1: Load Metric Dictionary

  1. Read .knowledge/active.yaml to identify the active dataset.
  2. Read .knowledge/datasets/{active}/metrics/index.yaml for the metric list.
  3. If no metrics directory exists: "No metric dictionary for this dataset. Use the metric-spec skill to define metrics."

Step 2: Execute Command

List all (/metrics):

  • Display as a table: id, name, category, direction, validation_status
  • Group by category
  • Show total count

Show specific (/metrics {id}):

  • Read .knowledge/datasets/{active}/metrics/{id}.yaml
  • Display: name, category, owner, full definition (formula, unit, direction, granularity), source tables, dimensions, guardrails, typical range, validation status
  • If metric not found: suggest closest match from index

Filter by category (/metrics category=monetization):

  • Filter index by category field
  • Display filtered table

Search (/metrics search=revenue):

  • Search metric names and descriptions (case-insensitive substring)
  • Display matching metrics

Step 3: Contextual Suggestions

After displaying metrics, suggest relevant actions:

  • "Want to validate {metric} against the current data? Use the data-profiling skill."
  • "Need to define a new metric? Use the metric-spec skill."
  • "Want to see how {metric} trends over time? Ask me to analyze it."

Edge Cases

  • No active dataset: Prompt to connect one
  • Empty metric dictionary: Suggest using metric-spec skill
  • Metric referenced but not in dictionary: Offer to create it
  • Stale validation: Flag metrics where last_validated is >30 days ago

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